README FILE for �The Gender Gap in Self-Promotion� by Christine L. Exley and Judd B. Kessler  To produce the results in the paper, first save all datasets in the same folder as run.do.  Then, use STATA to run the do-file entitled run.do.  Note that run.do contains detailed comments about which results correspond to which tables and figures in the paper.   Below, we highlight each of the datasets.  See the variable labels in each dataset for information on how the variables are defined. main.dta is the main data file with one observation per participant from each of our main study versions involving online participants (i.e., see study versions in Waves 1 � Wave 5 of Table 1 of our paper).main_long.dta is built from main.dta but, rather than having one observation per participant, involves one observation for each participant�s uninformed evaluation and one observation for each participant�s informed evaluation.payoffs_long.dta is built from main_long.dta as well as from employer_long.dta.  Specifically, it matches the self-evaluations provided by workers in the Self-Promotion and Self-Promotion (Risky) versions with the expected hiring decisions in the Employer version.  For example, if a worker evaluated themselves as a 75 in response the performance question, the expected wage of the worker for that self-evaluation question is the average wage given by employers when they made hiring decisions involving a worker who evaluated themselves as a 75 in response to the performance question.  employers_long.dta involves one observation per hiring decision made by each employer in the Employer version.  predictors.dta involves predictor data provided by participants who completed the study versions in the fifth wave of data collection. Specifically, there is one observation for each predictor�s prediction about female workers and one observation for each predictor�s prediction about male workers. youth_long.dta is the equivalent of main_long.dta but for our youth data. free_response.dta presents the coded free response data relevant for the Free Response - Predictor study version and for the Free Response � Employer study version. See Appendix C of the paper for information on the set of free responses that were coded.  